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Abstract #2732

Correction of Bolus Dispersion in the quantification of perfusion and haemodynamics using DSC-MRI

Amit Mehndiratta 1 , Fernando Calamante 2 , Bradley J MacIntosh 3 , David E Crane 3 , Stephen J Payne 1 , and Michael A Chappell 1

1 Institute of Biomedical Engineering, University of Oxford, Oxford, Oxfordshire, United Kingdom, 2 Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia, 3 Medical Biophysics, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada

Bolus dispersion can be a significant source of error in estimation of both perfusion and tissue residue function in DSC-MRI. In this study the recently proposed non-parametric CPI method was extended with dispersion-kernel (DK) to address dispersion effects. Three DKs were evaluated to identify the appropriate model for dispersion in-vivo. The performance of the proposed approach was assessed using simulations. In-vivo data from a patient with arteriosclerotic disease was also analysed. Addition of a DK in perfusion analysis was found to be useful both in simulations and in-vivo, but with no consistent benefit of one DK over other was observed.

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